Create app.py

app.py

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+import os
+import io
+import streamlit as st
+from groq import Groq
+
+# Set up Groq client using the environment variable for API key.
+client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+
+# Define the speaker options and their descriptions.
+speaker_options = {
+    "Liam": "A male voice",
+    "Dorothy": "A female voice",
+}
+
+# Build the Streamlit UI.
+st.title("Conversation Script Generator Using Groq API")
+
+# Layout two columns for speaker selection.
+col1, col2 = st.columns(2)
+with col1:
+    left_speaker = st.selectbox(
+        "Left Speaker",
+        options=list(speaker_options.keys()),
+        format_func=lambda x: f"{x}: {speaker_options[x]}"
+    )
+with col2:
+    right_speaker = st.selectbox(
+        "Right Speaker",
+        options=list(speaker_options.keys()),
+        format_func=lambda x: f"{x}: {speaker_options[x]}"
+    )
+
+# Text area for overall conversation theme.
+theme = st.text_area("Overall Theme of the Conversation", height=100)
+
+# Optional additional details.
+additional_details = st.text_area("Additional Conversation Details (Optional)", height=100)
+
+# When the user clicks the button, build the prompt and make the API call.
+if st.button("Generate Conversation"):
+    # Build the prompt message for Groq API.
+    prompt = (
+        f"""
+        {os.environ.get("PROMPT")}
+   Left Actor={left_speaker}
+Right Actor={right_speaker}
+Theme={theme}     
+        """
+    )
+    if additional_details.strip():
+        prompt += f"Additional Details: {additional_details}\n"
+
+    
+
+    # Prepare the message payload for the Groq API call.
+    messages = [
+        {
+            "role": "user",
+            "content": prompt,
+        }
+    ]
+    
+    # Model selection: adjust as needed.
+    model = "llama-3.3-70b-versatile"
+
+    try:
+        # Make the chat completion call using Groq.
+        chat_completion = client.chat.completions.create(
+            messages=messages,
+            model=model,
+        )
+
+        # Extract the generated conversation from the API response.
+        result_text = chat_completion.choices[0].message.content
+
+        if not result_text:
+            st.error("The API call did not return any content.")
+        else:
+            st.success("Conversation generated successfully!")
+            
+            # Display the result inside a text area.
+            st.write("### Generated Conversation Script")
+            st.text_area("", result_text, height=300)
+            
+            # Create a downloadable TXT file.
+            txt_bytes = result_text.encode("utf-8")
+            txt_io = io.BytesIO(txt_bytes)
+            st.download_button(
+                label="Download Script as TXT",
+                data=txt_io,
+                file_name="conversation_script.txt",
+                mime="text/plain"
+            )
+
+    except Exception as e:
+        st.error(f"An error occurred while calling the API: {e}")