Update app.py

app.py

@@ -1,39 +1,47 @@
 import gradio as gr
-import openai
-import os
-
-# Set the base URL for the Groq API
-openai.api_base = "https://api.groq.com/openai/v1"
-openai.api_key = os.getenv("GROQ_API_KEY")  # Fetch API key from environment variable
+import requests
+import json
 
+# Function to interact with the Groq API using the curl request approach
 def chat_function(message):
     # Define the request payload
     payload = {
-        "model": "mixtral-8x7b-32768",  # Specify your model here (e.g., Groq's supported model)
-        "messages": [{"role": "user", "content": message}],
-        "max_tokens": 150,
-        "temperature": 1
+        "model": "mixtral-8x7b-32768",
+        "messages": [
+            {"role": "user", "content": message}
+        ]
+    }
+
+    # Set the headers including your API key
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": "Bearer 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"  # Replace with your API key
     }
-    
+
     try:
-        # Send the request to the Groq API and get the response
-        response = openai.ChatCompletion.create(**payload)
-        return response["choices"][0]["message"]["content"]
-    
-    except Exception as e:
-        return f"Error: {str(e)}"
+        # Make the POST request to the Groq API
+        response = requests.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, data=json.dumps(payload))
+
+        # Check if the request was successful
+        if response.status_code == 200:
+            data = response.json()
+            return data["choices"][0]["message"]["content"]  # Return the model's response
+        else:
+            return f"Error: {response.status_code}, {response.text}"
+    except requests.exceptions.RequestException as e:
+        return f"Error: {e}"
 
-# Set up the Gradio interface
+# Set up Gradio interface
 gr.Interface(
-    fn=chat_function,  # The function that handles user input
-    inputs=gr.Textbox(placeholder="Ask something..."),  # User input text box
-    outputs="text",  # Output text box for the response
-    title="Groq-Gradio Chat",  # Interface title
-    theme="huggingface",  # Use a valid Gradio theme
+    fn=chat_function,  # Function that handles the chatbot
+    inputs=gr.Textbox(placeholder="Ask something..."),  # Input for user message
+    outputs="text",  # Output as text
+    title="Groq-Gradio Chat",  # Title of the interface
+    theme="default",  # Ensure theme is valid
     examples=[
         "Tell me a short story about a puppy",
         "Write a 14-line poem about travelling in Shakespeare style",
         "What are the wonders of the world?",
         "List the countries in Africa and their capitals"
-    ]  # Example prompts
-).launch()
+    ]
+).launch()