Duplicate from CobaltZvc/HyperBot

Co-authored-by: Vishwesh V Bhat <CobaltZvc@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: HyperBot
+emoji: ⚡
+colorFrom: indigo
+colorTo: gray
+sdk: streamlit
+sdk_version: 1.17.0
+app_file: app.py
+pinned: false
+duplicated_from: CobaltZvc/HyperBot
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os
+import openai
+import wget
+import streamlit as st
+from PIL import Image
+from serpapi import GoogleSearch
+import torch
+from diffusers import StableDiffusionPipeline
+from bokeh.models.widgets import Button
+from bokeh.models.widgets.buttons import Button
+from bokeh.models import CustomJS
+from streamlit_bokeh_events import streamlit_bokeh_events
+import base64
+from streamlit_player import st_player
+from pytube import YouTube
+from pytube import Search
+import io
+import warnings
+from PIL import Image
+from stability_sdk import client
+import stability_sdk.interfaces.gooseai.generation.generation_pb2 as generation
+import datetime
+from google.oauth2 import service_account
+from googleapiclient.discovery import build
+import wget
+import urllib.request
+import csv
+
+
+def save_uploadedfile(uploadedfile):
+    with open(uploadedfile.name,"wb") as f:
+        f.write(uploadedfile.getbuffer())
+
+stability_api = client.StabilityInference(
+    key=st.secrets["STABILITY_KEY"], #os.environ("STABILITY_KEY"), # key=os.environ['STABILITY_KEY'], # API Key reference.
+    verbose=True, # Print debug messages.
+    engine="stable-diffusion-v1-5", # Set the engine to use for generation.
+    # Available engines: stable-diffusion-v1 stable-diffusion-v1-5 stable-diffusion-512-v2-0 stable-diffusion-768-v2-0
+    # stable-diffusion-512-v2-1 stable-diffusion-768-v2-1 stable-inpainting-v1-0 stable-inpainting-512-v2-0
+)
+
+header = ["sl. no.", "Input Prompt", "Output", "Date_time"]
+
+def csv_logs(mytext, result, date_time):
+    with open("logs.csv", "r") as file:
+        sl_no = sum(1 for _ in csv.reader(file))
+
+    with open("logs.csv", "a", newline="") as file:
+        writer = csv.writer(file)
+        writer.writerow([sl_no, mytext, result, date_time])
+
+def search_internet(question):
+    try:    
+        params = {
+            "q": question,
+            "location": "Bengaluru, Karnataka, India",
+            "hl": "hi",
+            "gl": "in",
+            "google_domain": "google.co.in",
+            # "api_key": ""
+            "api_key": st.secrets["GOOGLE_API"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+        }
+    
+        params = {
+            "q": question,
+            "location": "Bengaluru, Karnataka, India",
+            "hl": "hi",
+            "gl": "in",
+            "google_domain": "google.co.in",
+            # "api_key": ""
+            "api_key": st.secrets["GOOGLE_API"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+        }
+    
+        search = GoogleSearch(params)
+        results = search.get_dict()
+        organic_results = results["organic_results"]
+        st.text("Key 0 used")
+        
+    
+        snippets = ""
+        counter = 1
+        for item in organic_results:
+            snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+            counter += 1
+    
+        # snippets
+    
+        response = openai.Completion.create(
+            model="text-davinci-003",
+            prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+            temperature=0.49,
+            max_tokens=256,
+            top_p=1,
+            frequency_penalty=0,
+            presence_penalty=0)
+
+        now = datetime.datetime.now()
+        date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+        string_temp = response.choices[0].text
+        csv_logs(question, string_temp, date_time)
+        st.write(string_temp)
+        st.write(snippets)
+    except:
+        try:
+            
+            params = {
+                "q": question,
+                "location": "Bengaluru, Karnataka, India",
+                "hl": "hi",
+                "gl": "in",
+                "google_domain": "google.co.in",
+                # "api_key": ""
+                "api_key": st.secrets["GOOGLE_API1"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+            }
+        
+            params = {
+                "q": question,
+                "location": "Bengaluru, Karnataka, India",
+                "hl": "hi",
+                "gl": "in",
+                "google_domain": "google.co.in",
+                # "api_key": ""
+                "api_key": st.secrets["GOOGLE_API1"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+            }
+        
+            search = GoogleSearch(params)
+            results = search.get_dict()
+            organic_results = results["organic_results"]
+            st.text("Key 1 used")
+          
+        
+            snippets = ""
+            counter = 1
+            for item in organic_results:
+                snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                counter += 1
+        
+            # snippets
+        
+            response = openai.Completion.create(
+                model="text-davinci-003",
+                prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                temperature=0.49,
+                max_tokens=256,
+                top_p=1,
+                frequency_penalty=0,
+                presence_penalty=0)
+
+            now = datetime.datetime.now()
+            date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+            string_temp = response.choices[0].text
+            csv_logs(question, string_temp, date_time)
+            st.write(string_temp)
+            st.write(snippets)
+        except:
+            try:
+                
+                params = {
+                "q": question,
+                "location": "Bengaluru, Karnataka, India",
+                "hl": "hi",
+                "gl": "in",
+                "google_domain": "google.co.in",
+                # "api_key": ""
+                "api_key": st.secrets["GOOGLE_API2"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                }
+            
+                params = {
+                    "q": question,
+                    "location": "Bengaluru, Karnataka, India",
+                    "hl": "hi",
+                    "gl": "in",
+                    "google_domain": "google.co.in",
+                    # "api_key": ""
+                    "api_key": st.secrets["GOOGLE_API2"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                }
+            
+                search = GoogleSearch(params)
+                results = search.get_dict()
+                organic_results = results["organic_results"]
+                st.text("Key 2 used")
+              
+            
+                snippets = ""
+                counter = 1
+                for item in organic_results:
+                    snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                    counter += 1
+            
+                # snippets
+            
+                response = openai.Completion.create(
+                    model="text-davinci-003",
+                    prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                    temperature=0.49,
+                    max_tokens=256,
+                    top_p=1,
+                    frequency_penalty=0,
+                    presence_penalty=0)
+                
+                now = datetime.datetime.now()
+                date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                string_temp = response.choices[0].text
+                csv_logs(question, string_temp, date_time)
+                st.write(string_temp)
+                st.write(snippets)
+            except:
+                    try:
+                        
+                        params = {
+                            "q": question,
+                            "location": "Bengaluru, Karnataka, India",
+                            "hl": "hi",
+                            "gl": "in",
+                            "google_domain": "google.co.in",
+                            # "api_key": ""
+                            "api_key": st.secrets["GOOGLE_API3"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                        }
+                    
+                        params = {
+                            "q": question,
+                            "location": "Bengaluru, Karnataka, India",
+                            "hl": "hi",
+                            "gl": "in",
+                            "google_domain": "google.co.in",
+                            # "api_key": ""
+                            "api_key": st.secrets["GOOGLE_API3"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                        }
+                    
+                        search = GoogleSearch(params)
+                        results = search.get_dict()
+                        organic_results = results["organic_results"]
+                        st.text("Key 3 used")
+                        
+                    
+                        snippets = ""
+                        counter = 1
+                        for item in organic_results:
+                            snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                            counter += 1
+                    
+                        # snippets
+                    
+                        response = openai.Completion.create(
+                            model="text-davinci-003",
+                            prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                            temperature=0.49,
+                            max_tokens=256,
+                            top_p=1,
+                            frequency_penalty=0,
+                            presence_penalty=0)
+                
+                        now = datetime.datetime.now()
+                        date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                        string_temp = response.choices[0].text
+                        csv_logs(question, string_temp, date_time)
+                        st.write(string_temp)
+                        st.write(snippets)
+                    except:
+                        try:
+                            
+                            params = {
+                                "q": question,
+                                "location": "Bengaluru, Karnataka, India",
+                                "hl": "hi",
+                                "gl": "in",
+                                "google_domain": "google.co.in",
+                                # "api_key": ""
+                                "api_key": st.secrets["GOOGLE_API4"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                            }
+                        
+                            params = {
+                                "q": question,
+                                "location": "Bengaluru, Karnataka, India",
+                                "hl": "hi",
+                                "gl": "in",
+                                "google_domain": "google.co.in",
+                                # "api_key": ""
+                                "api_key": st.secrets["GOOGLE_API4"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                            }
+                        
+                            search = GoogleSearch(params)
+                            results = search.get_dict()
+                            organic_results = results["organic_results"]
+                            st.text("Key 4 used")
+                            
+                        
+                            snippets = ""
+                            counter = 1
+                            for item in organic_results:
+                                snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                                counter += 1
+                        
+                            # snippets
+                        
+                            response = openai.Completion.create(
+                                model="text-davinci-003",
+                                prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                                temperature=0.49,
+                                max_tokens=256,
+                                top_p=1,
+                                frequency_penalty=0,
+                                presence_penalty=0)
+                    
+                            now = datetime.datetime.now()
+                            date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                            string_temp = response.choices[0].text
+                            csv_logs(question, string_temp, date_time)
+                            st.write(string_temp)
+                            st.write(snippets)
+                        except:
+                            try:
+                                
+                                params = {
+                                    "q": question,
+                                    "location": "Bengaluru, Karnataka, India",
+                                    "hl": "hi",
+                                    "gl": "in",
+                                    "google_domain": "google.co.in",
+                                    # "api_key": ""
+                                    "api_key": st.secrets["GOOGLE_API5"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                }
+                            
+                                params = {
+                                    "q": question,
+                                    "location": "Bengaluru, Karnataka, India",
+                                    "hl": "hi",
+                                    "gl": "in",
+                                    "google_domain": "google.co.in",
+                                    # "api_key": ""
+                                    "api_key": st.secrets["GOOGLE_API5"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                }
+                            
+                                search = GoogleSearch(params)
+                                results = search.get_dict()
+                                organic_results = results["organic_results"]
+                                st.text("Key 5 used")
+                                
+                            
+                                snippets = ""
+                                counter = 1
+                                for item in organic_results:
+                                    snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                                    counter += 1
+                            
+                                # snippets
+                            
+                                response = openai.Completion.create(
+                                    model="text-davinci-003",
+                                    prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                                    temperature=0.49,
+                                    max_tokens=256,
+                                    top_p=1,
+                                    frequency_penalty=0,
+                                    presence_penalty=0)
+                        
+                                now = datetime.datetime.now()
+                                date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                                string_temp = response.choices[0].text
+                                csv_logs(question, string_temp, date_time)
+                                st.write(string_temp)
+                                st.write(snippets)
+                            except:
+                                try:
+                                    
+                                    params = {
+                                        "q": question,
+                                        "location": "Bengaluru, Karnataka, India",
+                                        "hl": "hi",
+                                        "gl": "in",
+                                        "google_domain": "google.co.in",
+                                        # "api_key": ""
+                                        "api_key": st.secrets["GOOGLE_API6"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                    }
+                                
+                                    params = {
+                                        "q": question,
+                                        "location": "Bengaluru, Karnataka, India",
+                                        "hl": "hi",
+                                        "gl": "in",
+                                        "google_domain": "google.co.in",
+                                        # "api_key": ""
+                                        "api_key": st.secrets["GOOGLE_API6"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                    }
+                                
+                                    search = GoogleSearch(params)
+                                    results = search.get_dict()
+                                    organic_results = results["organic_results"]
+                                    st.text("Key 6 used")
+                                    
+                                
+                                    snippets = ""
+                                    counter = 1
+                                    for item in organic_results:
+                                        snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                                        counter += 1
+                                
+                                    # snippets
+                                
+                                    response = openai.Completion.create(
+                                        model="text-davinci-003",
+                                        prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                                        temperature=0.49,
+                                        max_tokens=256,
+                                        top_p=1,
+                                        frequency_penalty=0,
+                                        presence_penalty=0)
+                            
+                                    now = datetime.datetime.now()
+                                    date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                                    string_temp = response.choices[0].text
+                                    csv_logs(question, string_temp, date_time)
+                                    st.write(string_temp)
+                                    st.write(snippets)
+                                except:
+                                    try:
+                                        
+                                        params = {
+                                            "q": question,
+                                            "location": "Bengaluru, Karnataka, India",
+                                            "hl": "hi",
+                                            "gl": "in",
+                                            "google_domain": "google.co.in",
+                                            # "api_key": ""
+                                            "api_key": st.secrets["GOOGLE_API7"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                        }
+                                    
+                                        params = {
+                                            "q": question,
+                                            "location": "Bengaluru, Karnataka, India",
+                                            "hl": "hi",
+                                            "gl": "in",
+                                            "google_domain": "google.co.in",
+                                            # "api_key": ""
+                                            "api_key": st.secrets["GOOGLE_API7"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                        }
+                                    
+                                        search = GoogleSearch(params)
+                                        results = search.get_dict()
+                                        organic_results = results["organic_results"]
+                                        st.text("Key 7 used")
+                                        
+                                    
+                                        snippets = ""
+                                        counter = 1
+                                        for item in organic_results:
+                                            snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                                            counter += 1
+                                    
+                                        # snippets
+                                    
+                                        response = openai.Completion.create(
+                                            model="text-davinci-003",
+                                            prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                                            temperature=0.49,
+                                            max_tokens=256,
+                                            top_p=1,
+                                            frequency_penalty=0,
+                                            presence_penalty=0)
+                                
+                                        now = datetime.datetime.now()
+                                        date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                                        string_temp = response.choices[0].text
+                                        csv_logs(question, string_temp, date_time)
+                                        st.write(string_temp)
+                                        st.write(snippets)
+                                    except:
+                                        try:
+                                            
+                                            params = {
+                                                "q": question,
+                                                "location": "Bengaluru, Karnataka, India",
+                                                "hl": "hi",
+                                                "gl": "in",
+                                                "google_domain": "google.co.in",
+                                                # "api_key": ""
+                                                "api_key": st.secrets["GOOGLE_API8"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                            }
+                                        
+                                            params = {
+                                                "q": question,
+                                                "location": "Bengaluru, Karnataka, India",
+                                                "hl": "hi",
+                                                "gl": "in",
+                                                "google_domain": "google.co.in",
+                                                # "api_key": ""
+                                                "api_key": st.secrets["GOOGLE_API8"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                            }
+                                        
+                                            search = GoogleSearch(params)
+                                            results = search.get_dict()
+                                            organic_results = results["organic_results"]
+                                            st.text("Key 8 used")
+                                            
+                                        
+                                            snippets = ""
+                                            counter = 1
+                                            for item in organic_results:
+                                                snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                                                counter += 1
+                                        
+                                            # snippets
+                                        
+                                            response = openai.Completion.create(
+                                                model="text-davinci-003",
+                                                prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                                                temperature=0.49,
+                                                max_tokens=256,
+                                                top_p=1,
+                                                frequency_penalty=0,
+                                                presence_penalty=0)
+                                    
+                                            now = datetime.datetime.now()
+                                            date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                                            string_temp = response.choices[0].text
+                                            csv_logs(question, string_temp, date_time)
+                                            st.write(string_temp)
+                                            st.write(snippets)
+                                        except:
+                                            try:
+                                                
+                                                params = {
+                                                    "q": question,
+                                                    "location": "Bengaluru, Karnataka, India",
+                                                    "hl": "hi",
+                                                    "gl": "in",
+                                                    "google_domain": "google.co.in",
+                                                    # "api_key": ""
+                                                    "api_key": st.secrets["GOOGLE_API9"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                                }
+                                            
+                                                params = {
+                                                    "q": question,
+                                                    "location": "Bengaluru, Karnataka, India",
+                                                    "hl": "hi",
+                                                    "gl": "in",
+                                                    "google_domain": "google.co.in",
+                                                    # "api_key": ""
+                                                    "api_key": st.secrets["GOOGLE_API9"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                                }
+                                            
+                                                search = GoogleSearch(params)
+                                                results = search.get_dict()
+                                                organic_results = results["organic_results"]
+                                                st.text("Key 9 used")
+                                                
+                                            
+                                                snippets = ""
+                                                counter = 1
+                                                for item in organic_results:
+                                                    snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                                                    counter += 1
+                                            
+                                                # snippets
+                                            
+                                                response = openai.Completion.create(
+                                                    model="text-davinci-003",
+                                                    prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                                                    temperature=0.49,
+                                                    max_tokens=256,
+                                                    top_p=1,
+                                                    frequency_penalty=0,
+                                                    presence_penalty=0)
+                                        
+                                                now = datetime.datetime.now()
+                                                date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                                                string_temp = response.choices[0].text
+                                                csv_logs(question, string_temp, date_time)
+                                                st.write(string_temp)
+                                                st.write(snippets)
+                                            except:
+                                                try:
+                                                    
+                                                    params = {
+                                                        "q": question,
+                                                        "location": "Bengaluru, Karnataka, India",
+                                                        "hl": "hi",
+                                                        "gl": "in",
+                                                        "google_domain": "google.co.in",
+                                                        # "api_key": ""
+                                                        "api_key": st.secrets["GOOGLE_API10"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                                    }
+                                                
+                                                    params = {
+                                                        "q": question,
+                                                        "location": "Bengaluru, Karnataka, India",
+                                                        "hl": "hi",
+                                                        "gl": "in",
+                                                        "google_domain": "google.co.in",
+                                                        # "api_key": ""
+                                                        "api_key": st.secrets["GOOGLE_API10"] #os.environ("GOOGLE_API") #os.environ['GOOGLE_API']
+                                                    }
+                                                
+                                                    search = GoogleSearch(params)
+                                                    results = search.get_dict()
+                                                    organic_results = results["organic_results"]
+                                                    st.text("Key 10 used")
+                                                    
+                                                
+                                                    snippets = ""
+                                                    counter = 1
+                                                    for item in organic_results:
+                                                        snippets += str(counter) + ". " + item.get("snippet", "") + '\n' + item['about_this_result']['source']['source_info_link'] + '\n'
+                                                        counter += 1
+                                                
+                                                    # snippets
+                                                
+                                                    response = openai.Completion.create(
+                                                        model="text-davinci-003",
+                                                        prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
+                                                        temperature=0.49,
+                                                        max_tokens=256,
+                                                        top_p=1,
+                                                        frequency_penalty=0,
+                                                        presence_penalty=0)
+                                            
+                                                    now = datetime.datetime.now()
+                                                    date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                                                    string_temp = response.choices[0].text
+                                                    csv_logs(question, string_temp, date_time)
+                                                    st.write(string_temp)
+                                                    st.write(snippets)
+                                                except:
+                                                    pass
+                                
+        
+
+openai.api_key = st.secrets["OPENAI_KEY"] #os.environ("OPENAI_KEY") #os.environ['OPENAI_KEY']
+# date_time = str(datetime.now())
+
+openai.api_key = st.secrets["OPENAI_KEY"]
+
+def openai_response(PROMPT):
+    response = openai.Image.create(
+    prompt=PROMPT,
+    n=1,
+    size="256x256",
+)
+    return response["data"][0]["url"]
+
+st.title("Hi! :red[HyperBot] here!!🤖⭐️")
+st.title("Go on ask me anything!!")
+
+st.write('''
+⭐️ *HyperBot is your virtual assistant powered by Whisper / 
+chatgpt / internet / Dall-E / OpenAI embeddings - the perfect 
+companion for you. With HyperBot, you can ask anything you ask 
+internet everyday . Get answers to questions about the weather, 
+stocks 📈, news📰, and more! Plus, you can also generate 🖌️ 
+paintings, drawings, abstract art 🎨, play music 🎵 or videos, 
+create tweets 🐦 and posts 📝, and compose emails 📧 - all with 
+the help of HyperBot!* 🤖 ✨
+''')
+
+st.text('''You can ask me: 
+1. All the things you ask ChatGPT.
+2. To generate paintings, drawings, abstract art. 
+3. Music or Videos
+4. Weather 
+5. Stocks 
+6. Current Affairs and News.
+7. Create or compose tweets or Linkedin posts or email.''')
+
+Input_type = st.radio(
+    "**Input type:**",
+    ('TEXT', 'SPEECH')
+    )
+
+if Input_type == 'TEXT':
+    mytext = st.text_input('**Go on! Ask me anything:**')
+    if st.button("SUBMIT"):
+        question=mytext
+        response = openai.Completion.create(
+          model="text-davinci-003",
+          prompt=f'''Your name is HyperBot and  knowledge cutoff date is 2021-09, and you are not aware of any events after that time. if the  
+                    Answer to following questions is not from your knowledge base or in case of queries like date, time, weather 
+                      updates / stock updates / current affairs / news or people which requires you to have internet connection  then print i don't have access to internet to answer your question, 
+                      if  question is related to  image or  painting or drawing or diagram generation then print ipython type output function gen_draw("detailed prompt of image to be generated")
+                      if the question is related to playing a song or video or music of a singer then print ipython type output  function vid_tube("relevent search query")
+                      if the question is related to operating home appliances then print ipython type output function home_app(" action(ON/Off),appliance(TV,Geaser,Fridge,Lights,fans,AC)") . 
+                      if question is realted to sending mail or sms then print ipython type output function messenger_app(" message of us ,messenger(email,sms)")
+                      \nQuestion-{question}
+                      \nAnswer -''',
+          temperature=0.49,
+          max_tokens=256,
+          top_p=1,
+          frequency_penalty=0,
+          presence_penalty=0
+        )
+        string_temp=response.choices[0].text
+
+        if ("gen_draw" in string_temp):
+            try:
+                try:
+                    wget.download(openai_response(prompt))
+                    img2 = Image.open(wget.download(openai_response(prompt)))
+                    img2.show()
+                    rx = 'Image returned'
+                    now = datetime.datetime.now()
+                    date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                    csv_logs(mytext, rx, date_time)
+                except:
+                    urllib.request.urlretrieve(openai_response(prompt),"img_ret.png")
+                    img = Image.open("img_ret.png")
+                    img.show()
+                    rx = 'Image returned'
+                    now = datetime.datetime.now()
+                    date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                    csv_logs(mytext, rx, date_time)
+            except:
+                # Set up our initial generation parameters.
+                answers = stability_api.generate(
+                prompt = mytext,
+                seed=992446758, # If a seed is provided, the resulting generated image will be deterministic.
+                        # What this means is that as long as all generation parameters remain the same, you can always recall the same image simply by generating it again.
+                        # Note: This isn't quite the case for Clip Guided generations, which we'll tackle in a future example notebook.
+                steps=30, # Amount of inference steps performed on image generation. Defaults to 30.
+                cfg_scale=8.0, # Influences how strongly your generation is guided to match your prompt.
+                    # Setting this value higher increases the strength in which it tries to match your prompt.
+                    # Defaults to 7.0 if not specified.
+                width=512, # Generation width, defaults to 512 if not included.
+                height=512, # Generation height, defaults to 512 if not included.
+                samples=1, # Number of images to generate, defaults to 1 if not included.
+                sampler=generation.SAMPLER_K_DPMPP_2M # Choose which sampler we want to denoise our generation with.
+                                                    # Defaults to k_dpmpp_2m if not specified. Clip Guidance only supports ancestral samplers.
+                                                    # (Available Samplers: ddim, plms, k_euler, k_euler_ancestral, k_heun, k_dpm_2, k_dpm_2_ancestral, k_dpmpp_2s_ancestral, k_lms, k_dpmpp_2m)
+                )
+
+                for resp in answers:
+                    for artifact in resp.artifacts:
+                        if artifact.finish_reason == generation.FILTER:
+                            warnings.warn(
+                                "Your request activated the API's safety filters and could not be processed."
+                                "Please modify the prompt and try again.")
+                        if artifact.type == generation.ARTIFACT_IMAGE:
+                            img = Image.open(io.BytesIO(artifact.binary))
+                            st.image(img)
+                            img.save(str(artifact.seed)+ ".png") # Save our generated images with their seed number as the filename.
+                            rx = 'Image returned'
+                            # g_sheet_log(mytext, rx)
+                            now = datetime.datetime.now()
+                            date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                            csv_logs(mytext, rx, date_time)
+                            
+
+        elif ("vid_tube" in string_temp):
+            s = Search(mytext)
+            search_res = s.results
+            first_vid = search_res[0]
+            print(first_vid)
+            string = str(first_vid)
+            video_id = string[string.index('=') + 1:-1]
+            # print(video_id)
+            YoutubeURL = "https://www.youtube.com/watch?v="
+            OurURL = YoutubeURL + video_id
+            st.write(OurURL)
+            st_player(OurURL)
+            now = datetime.datetime.now()
+            date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+            ry = 'Youtube link and video returned'
+            # g_sheet_log(mytext, ry)
+            csv_logs(mytext, ry, date_time)
+
+        elif ("don't" in string_temp or "internet" in string_temp):
+            st.write('searching internet ')
+            search_internet(question)
+            # rz = 'Internet result returned'
+            # g_sheet_log(mytext, string_temp)
+            # csv_logs(mytext, rz, date_time)
+
+        else:
+            st.write(string_temp)
+            # g_sheet_log(mytext, string_temp)
+            now = datetime.datetime.now()
+            date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+            csv_logs(mytext, string_temp, date_time)
+            
+elif Input_type == 'SPEECH':
+    option_speech = st.selectbox(
+    'Choose from below: (Options for Transcription)',
+    ('Use Microphone', 'OpenAI Whisper (Upload audio file)')
+    )
+
+    if option_speech == 'Use Microphone':
+        stt_button = Button(label="Speak", width=100)
+        stt_button.js_on_event("button_click", CustomJS(code="""
+            var recognition = new webkitSpeechRecognition();
+            recognition.continuous = true;
+            recognition.interimResults = true;
+         
+            recognition.onresult = function (e) {
+                var value = "";
+                for (var i = e.resultIndex; i < e.results.length; ++i) {
+                    if (e.results[i].isFinal) {
+                        value += e.results[i][0].transcript;
+                    }
+                }
+                if ( value != "") {
+                    document.dispatchEvent(new CustomEvent("GET_TEXT", {detail: value}));
+                }
+            }
+            recognition.start();
+            """))
+        
+        result = streamlit_bokeh_events(
+            stt_button,
+            events="GET_TEXT",
+            key="listen",
+            refresh_on_update=False,
+            override_height=75,
+            debounce_time=0)
+        
+        if result:
+            if "GET_TEXT" in result:
+                question = result.get("GET_TEXT")
+                st.text(question)
+                response = openai.Completion.create(
+                model="text-davinci-003",
+                prompt=f'''Your name is HyperBot and  knowledge cutoff date is 2021-09, and you are not aware of any events after that time. if the  
+                    Answer to following questions is not from your knowledge base or in case of queries like date, time, weather 
+                      updates / stock updates / current affairs / news or people which requires you to have internet connection  then print i don't have access to internet to answer your question, 
+                      if  question is related to  image or  painting or drawing or diagram generation then print ipython type output function gen_draw("detailed prompt of image to be generated")
+                      if the question is related to playing a song or video or music of a singer then print ipython type output  function vid_tube("relevent search query")
+                      if the question is related to operating home appliances then print ipython type output function home_app(" action(ON/Off),appliance(TV,Geaser,Fridge,Lights,fans,AC)") . 
+                      if question is realted to sending mail or sms then print ipython type output function messenger_app(" message of us ,messenger(email,sms)")
+                      \nQuestion-{question}
+                      \nAnswer -''',
+                temperature=0.49,
+                max_tokens=256,
+                top_p=1,
+                frequency_penalty=0,
+                presence_penalty=0
+                )
+                string_temp=response.choices[0].text
+    
+                if ("gen_draw" in string_temp):
+                    try:
+                        try:
+                            wget.download(openai_response(prompt))
+                            img2 = Image.open(wget.download(openai_response(prompt)))
+                            img2.show()
+                            rx = 'Image returned'
+                            now = datetime.datetime.now()
+                            date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                            csv_logs(question, rx, date_time)
+                        except:
+                            urllib.request.urlretrieve(openai_response(prompt),"img_ret.png")
+                            img = Image.open("img_ret.png")
+                            img.show()
+                            rx = 'Image returned'
+                            now = datetime.datetime.now()
+                            date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                            csv_logs(question, rx, date_time)
+                    except:
+                        # Set up our initial generation parameters.
+                        answers = stability_api.generate(
+                        prompt = mytext,
+                        seed=992446758, # If a seed is provided, the resulting generated image will be deterministic.
+                                # What this means is that as long as all generation parameters remain the same, you can always recall the same image simply by generating it again.
+                                # Note: This isn't quite the case for Clip Guided generations, which we'll tackle in a future example notebook.
+                        steps=30, # Amount of inference steps performed on image generation. Defaults to 30.
+                        cfg_scale=8.0, # Influences how strongly your generation is guided to match your prompt.
+                            # Setting this value higher increases the strength in which it tries to match your prompt.
+                            # Defaults to 7.0 if not specified.
+                        width=512, # Generation width, defaults to 512 if not included.
+                        height=512, # Generation height, defaults to 512 if not included.
+                        samples=1, # Number of images to generate, defaults to 1 if not included.
+                        sampler=generation.SAMPLER_K_DPMPP_2M # Choose which sampler we want to denoise our generation with.
+                                                            # Defaults to k_dpmpp_2m if not specified. Clip Guidance only supports ancestral samplers.
+                                                            # (Available Samplers: ddim, plms, k_euler, k_euler_ancestral, k_heun, k_dpm_2, k_dpm_2_ancestral, k_dpmpp_2s_ancestral, k_lms, k_dpmpp_2m)
+                        )
+            
+                        for resp in answers:
+                            for artifact in resp.artifacts:
+                                if artifact.finish_reason == generation.FILTER:
+                                    warnings.warn(
+                                        "Your request activated the API's safety filters and could not be processed."
+                                        "Please modify the prompt and try again.")
+                                if artifact.type == generation.ARTIFACT_IMAGE:
+                                    img = Image.open(io.BytesIO(artifact.binary))
+                                    st.image(img)
+                                    img.save(str(artifact.seed)+ ".png") # Save our generated images with their seed number as the filename.
+                                    rx = 'Image returned'
+                                    # g_sheet_log(mytext, rx)
+                                    csv_logs(question, rx, date_time)
+                    
+                elif ("vid_tube" in string_temp):
+                    s = Search(question)
+                    search_res = s.results
+                    first_vid = search_res[0]
+                    print(first_vid)
+                    string = str(first_vid)
+                    video_id = string[string.index('=') + 1:-1]
+                    # print(video_id)
+                    YoutubeURL = "https://www.youtube.com/watch?v="
+                    OurURL = YoutubeURL + video_id
+                    st.write(OurURL)
+                    st_player(OurURL)
+                    now = datetime.datetime.now()
+                    date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                    ry = 'Youtube link and video returned'
+                    # g_sheet_log(mytext, ry)
+                    csv_logs(question, ry, date_time)
+
+    
+                elif ("don't" in string_temp or "internet" in string_temp  ):
+                    st.write('*searching internet*')
+                    search_internet(question)
+                else:
+                    st.write(string_temp)
+                    now = datetime.datetime.now()
+                    date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                    csv_logs(question, string_temp, date_time)
+
+
+    elif option_speech == 'OpenAI Whisper (Upload audio file)':
+        audio_file = st.file_uploader("Upload Audio file",type=['wav', 'mp3'])
+        if audio_file is not None:
+            # file = open(audio_file, "rb")
+            st.audio(audio_file)
+            transcription = openai.Audio.transcribe("whisper-1", audio_file)
+            st.write(transcription["text"])
+            result = transcription["text"]
+            question = result
+            response = openai.Completion.create(
+            model="text-davinci-003",
+            prompt=f'''Your name is HyperBot and  knowledge cutoff date is 2021-09, and you are not aware of any events after that time. if the  
+                    Answer to following questions is not from your knowledge base or in case of queries like date, time, weather 
+                      updates / stock updates / current affairs / news or people which requires you to have internet connection  then print i don't have access to internet to answer your question, 
+                      if  question is related to  image or  painting or drawing or diagram generation then print ipython type output function gen_draw("detailed prompt of image to be generated")
+                      if the question is related to playing a song or video or music of a singer then print ipython type output  function vid_tube("relevent search query")
+                      if the question is related to operating home appliances then print ipython type output function home_app(" action(ON/Off),appliance(TV,Geaser,Fridge,Lights,fans,AC)") . 
+                      if question is realted to sending mail or sms then print ipython type output function messenger_app(" message of us ,messenger(email,sms)")
+                      \nQuestion-{question}
+                      \nAnswer -''',
+            temperature=0.49,
+            max_tokens=256,
+            top_p=1,
+            frequency_penalty=0,
+            presence_penalty=0
+            )
+            
+            string_temp=response.choices[0].text
+
+            if ("gen_draw" in string_temp):
+                try:
+                    try:
+                        wget.download(openai_response(prompt))
+                        img2 = Image.open(wget.download(openai_response(prompt)))
+                        img2.show()
+                        rx = 'Image returned'
+                        now = datetime.datetime.now()
+                        date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                        csv_logs(question, rx, date_time)
+                    except:
+                        urllib.request.urlretrieve(openai_response(prompt),"img_ret.png")
+                        img = Image.open("img_ret.png")
+                        img.show()
+                        rx = 'Image returned'
+                        now = datetime.datetime.now()
+                        date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                        csv_logs(question, rx, date_time)
+                except:
+                    # Set up our initial generation parameters.
+                    answers = stability_api.generate(
+                    prompt = mytext,
+                    seed=992446758, # If a seed is provided, the resulting generated image will be deterministic.
+                            # What this means is that as long as all generation parameters remain the same, you can always recall the same image simply by generating it again.
+                            # Note: This isn't quite the case for Clip Guided generations, which we'll tackle in a future example notebook.
+                    steps=30, # Amount of inference steps performed on image generation. Defaults to 30.
+                    cfg_scale=8.0, # Influences how strongly your generation is guided to match your prompt.
+                        # Setting this value higher increases the strength in which it tries to match your prompt.
+                        # Defaults to 7.0 if not specified.
+                    width=512, # Generation width, defaults to 512 if not included.
+                    height=512, # Generation height, defaults to 512 if not included.
+                    samples=1, # Number of images to generate, defaults to 1 if not included.
+                    sampler=generation.SAMPLER_K_DPMPP_2M # Choose which sampler we want to denoise our generation with.
+                                                        # Defaults to k_dpmpp_2m if not specified. Clip Guidance only supports ancestral samplers.
+                                                        # (Available Samplers: ddim, plms, k_euler, k_euler_ancestral, k_heun, k_dpm_2, k_dpm_2_ancestral, k_dpmpp_2s_ancestral, k_lms, k_dpmpp_2m)
+                    )
+    
+                    for resp in answers:
+                        for artifact in resp.artifacts:
+                            if artifact.finish_reason == generation.FILTER:
+                                warnings.warn(
+                                    "Your request activated the API's safety filters and could not be processed."
+                                    "Please modify the prompt and try again.")
+                            if artifact.type == generation.ARTIFACT_IMAGE:
+                                img = Image.open(io.BytesIO(artifact.binary))
+                                st.image(img)
+                                img.save(str(artifact.seed)+ ".png") # Save our generated images with their seed number as the filename.
+                                rx = 'Image returned'
+                                # g_sheet_log(mytext, rx)
+                                csv_logs(question, rx, date_time)
+ 
+            
+            elif ("vid_tube" in string_temp):
+                s = Search(question)
+                search_res = s.results
+                first_vid = search_res[0]
+                print(first_vid)
+                string = str(first_vid)
+                video_id = string[string.index('=') + 1:-1]
+                # print(video_id)
+                YoutubeURL = "https://www.youtube.com/watch?v="
+                OurURL = YoutubeURL + video_id
+                st.write(OurURL)
+                st_player(OurURL)
+                now = datetime.datetime.now()
+                date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                ry = 'Youtube link and video returned'
+                # g_sheet_log(mytext, ry)
+                csv_logs(question, ry, date_time)
+
+            elif ("don't" in string_temp or "internet" in string_temp  ):
+                st.write('*searching internet*')
+                search_internet(question)
+            else:
+                st.write(string_temp)
+                now = datetime.datetime.now()
+                date_time = now.strftime("%Y-%m-%d %H:%M:%S")
+                csv_logs(question, string_temp, date_time)
+
+else:
+    pass

logs.csv

@@ -0,0 +1 @@
+Sl. No.,Input Prompt,Output,Date_time

requirements.txt

@@ -0,0 +1,24 @@
+stability-sdk
+pytube
+openai
+google-search-results
+accelerate
+wget
+bokeh==2.4.1
+streamlit==1.10.0
+streamlit-bokeh-events==0.1.2
+streamlit-player
+diffusers
+transformers
+scipy
+Ipython
+gspread
+google-oauth2-tool
+google-api-python-client
+urllib3
+Pillow
+wget
+pandasql
+pandas
+sounddevice==0.4.1
+soundfile