Update app.py

app.py

@@ -1,50 +1,61 @@
 import os
 import openai
 import gradio as gr
-import speech_recognition as sr
 
 # Set up OpenAI API credentials
 api_key = os.environ.get("OPENAI_API_KEY")
 openai.api_key = api_key
 
-# Define the conversation prompt
-conversation_prompt = "Welcome to ChatRobo, kindly type in your enquiries: "
-
-# Define the function to generate a response from the GPT model
+# Define a function to generate a response to user input
 def generate_response(user_input):
-    try:
-        # Check if user input contains the phrase "who created you"
-        if "who created you" in user_input.lower():
-            # Generate a response that includes your name
-            chat_response = f"I was created by [Ramv]!"
-        else:
-            # Construct the prompt with the user input
-            prompt = f"You said: {user_input}"
-
-            # Generate a response using the OpenAI API
-            response = openai.Completion.create(
-                engine="text-davinci-002",
-                prompt=prompt,
-                temperature=0.7,
-                max_tokens=1024,
-                n=1,
-                stop=None,
-                frequency_penalty=0,
-                presence_penalty=0
-            )
-
-            # Extract the response from the API output
-            chat_response = response.choices[0].text.strip()
-
-    except Exception as e:
-        # If an error occurs during the API request, return an error message
-        chat_response = "Sorry, an error occurred while processing your request. Please try again later."
+    # Check if user input contains the phrase "who created you"
+    if "who created you" in user_input.lower():
+        # Generate a response that includes your name
+        chat_response = "I was created by RamV!"
+    else:
+        # Construct the prompt with the user input
+        prompt = f"You said: {user_input}"
+
+        # Generate a response using the OpenAI API
+        response = openai.Completion.create(
+            model="text-davinci-003",
+            prompt=prompt,
+            temperature=0.9,
+            max_tokens=150,
+            top_p=1,
+            frequency_penalty=0,
+            presence_penalty=0.6,
+            stop=["Human:", "AI:"]
+        )
+
+        # Extract the response from the API output
+        chat_response = response.choices[0].text.strip()
 
     return chat_response
 
-# Create a Gradio interface for the chatbot with speech recognition
-interface = gr.Interface(fn=recognize_speech, 
-                          inputs=None, 
-                          outputs=gr.outputs.Textbox(label="ChatRobo Output"))
-interface.launch()
+# Define the function to handle the chat history
+def openai_chat_history(input, history):
+    history = history or []
+    if input.strip() != "":
+        s = list(sum(history, ()))
+        s.append(input)
+        inp = ' '.join(s)
+        output = generate_response(inp)
+        history.append((input, output))
+        return history[-1][1]
+    else:
+        return ""
+
+# Define the conversation prompt
+conversation_prompt = "Welcome to ChatRobo, kindly type in your enquiries: "
+
+# Set up the Gradio interface
+block = gr.Interface(
+    fn=openai_chat_history, 
+    inputs=[gr.inputs.Textbox(placeholder=conversation_prompt)], 
+    outputs=[gr.outputs.Textbox(label="ChatRobo Output")]
+)
+
+# Launch the Gradio interface
+block.launch()