Upload 4 files

analyze.py

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+import streamlit as st
+import json
+import google.generativeai as genai
+
+def app():
+
+    # Configure Google Generative AI
+    genai.configure(api_key="AIzaSyD-61G3GhSY97O-X2AlpXGv1MYBBMRFmwg")
+
+    # Streamlit UI
+    st.title("Analysis of Responses")
+
+    uploaded_file = st.file_uploader("Choose a JSON file", type="json")
+    if uploaded_file is not None:
+        # Load the JSON file
+        data = json.load(uploaded_file)
+        # Set up the model configuration
+        generation_config = {
+            "temperature": 0.9,
+            "top_p": 1,
+            "top_k": 1,
+            "max_output_tokens": 2048,
+        }
+
+        safety_settings = [
+            {
+                "category": "HARM_CATEGORY_HARASSMENT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_HATE_SPEECH",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+        ]
+
+        model = genai.GenerativeModel(model_name="gemini-1.0-pro",
+                                    generation_config=generation_config,
+                                    safety_settings=safety_settings)
+
+        # UI to trigger processing
+        if st.button("Generate Content"):
+            # Adjust the following line to match how you extract prompts from your JSON data
+            prompt_parts = f"Given an individual's career aspirations, core values, strengths, preferences, and skills, provide a comprehensive analysis that identifies key strengths, aligns these with career values, and suggests career paths. Then, recommend the top 5 job descriptions that would be a perfect fit based on the analysis. Here are the details: {data}"
+            response = model.generate_content(prompt_parts)
+            
+            # Display the response
+            st.write("Generated Content:")
+            st.write(response.text)

app.py

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+import streamlit as st
+import analyze
+import linkedin
+import resume
+
+PAGES = {
+    "Analyze Responses": analyze,
+    "LinkedIn": linkedin,
+    "Resume": resume  
+}
+
+st.sidebar.title('Main Menu')
+selection = st.sidebar.radio("Go to", list(PAGES.keys()))
+
+page = PAGES[selection]
+page.app()

linkedin.py

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+import streamlit as st
+import json
+import google.generativeai as genai
+
+def app():
+
+    # Configure Google Generative AI
+    genai.configure(api_key="AIzaSyD-61G3GhSY97O-X2AlpXGv1MYBBMRFmwg")
+
+    # Streamlit UI
+    st.title("LinkedIn")
+
+    uploaded_file = st.file_uploader("Choose a JSON file", type="json")
+    if uploaded_file is not None:
+        # Load the JSON file
+        data = json.load(uploaded_file)
+        # Set up the model configuration
+        generation_config = {
+            "temperature": 0.9,
+            "top_p": 1,
+            "top_k": 1,
+            "max_output_tokens": 2048,
+        }
+
+        safety_settings = [
+            {
+                "category": "HARM_CATEGORY_HARASSMENT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_HATE_SPEECH",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+        ]
+
+        model = genai.GenerativeModel(model_name="gemini-1.0-pro",
+                                    generation_config=generation_config,
+                                    safety_settings=safety_settings)
+
+        # UI to trigger processing
+        if st.button("Generate Content"):
+            # Adjust the following line to match how you extract prompts from your JSON data
+            prompt_parts = f"Based on the following inputs, generate optimized content for a LinkedIn Bio, Header Bio, Experience, Skills, Certifications. Here are the details: {data}"
+            response = model.generate_content(prompt_parts)
+            
+            # Display the response
+            st.write("Generated Content:")
+            st.write(response.text)

resume.py

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+import streamlit as st
+import json
+import google.generativeai as genai
+
+def app():
+
+    # Configure Google Generative AI
+    genai.configure(api_key="AIzaSyD-61G3GhSY97O-X2AlpXGv1MYBBMRFmwg")
+
+    # Streamlit UI
+    st.title("Resume")
+
+    uploaded_file = st.file_uploader("Choose a JSON file", type="json")
+    if uploaded_file is not None:
+        # Load the JSON file
+        data = json.load(uploaded_file)
+        # Set up the model configuration
+        generation_config = {
+            "temperature": 0.9,
+            "top_p": 1,
+            "top_k": 1,
+            "max_output_tokens": 2048,
+        }
+
+        safety_settings = [
+            {
+                "category": "HARM_CATEGORY_HARASSMENT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_HATE_SPEECH",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+            {
+                "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+                "threshold": "BLOCK_MEDIUM_AND_ABOVE"
+            },
+        ]
+
+        model = genai.GenerativeModel(model_name="gemini-1.0-pro",
+                                    generation_config=generation_config,
+                                    safety_settings=safety_settings)
+
+        # UI to trigger processing
+        if st.button("Generate Content"):
+            # Adjust the following line to match how you extract prompts from your JSON data
+            prompt_parts = f"    Based on the following inputs, print the basic details in proper manner line by line (name, github url, etc), generate a professional resume that includes sections for a Summary, Experience, Skills, Certifications (dont give education section). Provide optimized content for each section of the resume to highlight the individual's qualifications, achievements, and career progression. Here are the details: {data}"
+            response = model.generate_content(prompt_parts)
+            
+            # Display the response
+            st.write("Generated Content:")
+            st.write(response.text)