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README.md

@@ -1,10 +1,10 @@
 ---
-title: Voice Chat
-emoji: 📊
-colorFrom: gray
+title: Avia Demo
+emoji: 🦀
+colorFrom: red
 colorTo: pink
 sdk: gradio
-sdk_version: 5.23.1
+sdk_version: 5.15.0
 app_file: app.py
 pinned: false
 ---

app.py

@@ -0,0 +1,121 @@
+import gradio as gr
+import openai
+import os
+import tempfile
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+def transcribe_audio(audio_file):
+    with open(audio_file, "rb") as f:
+        transcript = openai.audio.transcriptions.create(
+            model="whisper-1", 
+            file=f
+        )
+    return transcript.text
+
+def generate_response(conversation_history):
+    response = openai.chat.completions.create(
+        model="ft:gpt-4o-2024-08-06:personal::BA52Cq4i",
+        messages=conversation_history
+    )
+    reply = response.choices[0].message.content
+    return reply
+
+def text_to_speech(text):
+    response = openai.audio.speech.create(
+        model="tts-1",
+        voice="alloy",
+        input=text,
+    )
+    temp_audio_path = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False).name
+    response.stream_to_file(temp_audio_path)
+    return temp_audio_path
+
+def process_input(audio, text, conversation_history):
+    if not conversation_history:
+        conversation_history = [{"role": "system", "content": "You are a pilot assistant."}]
+    transcribed_text = ""
+    if audio:
+        transcribed_text = transcribe_audio(audio)
+    else:
+        transcribed_text = text or ""
+    if not transcribed_text.strip():
+        return (
+            "No text found. Please provide audio or type text.",
+            "Please provide text or record audio.",
+            None,
+            conversation_history
+        )
+    conversation_history.append({"role": "user", "content": transcribed_text})
+    generated_text = generate_response(conversation_history)
+    conversation_history.append({"role": "assistant", "content": generated_text})
+    audio_output = None
+    try:
+        audio_output = text_to_speech(generated_text)
+    except Exception:
+        pass
+    return transcribed_text, generated_text, audio_output, conversation_history
+
+def update_chat_history(conversation_history):
+    return "\n".join(
+        f"{msg['role'].capitalize()}: {msg['content']}" for msg in conversation_history
+    )
+
+with gr.Blocks() as demo:
+    gr.Markdown("# OpenAI Multi-turn Voice & Text Chat")
+    user_name = gr.Textbox(label="Enter your name")
+
+    with gr.Row():
+        audio_input = gr.Audio(
+            sources="microphone", 
+            type="filepath", 
+            label="Record Audio"
+        )
+        text_input = gr.Textbox(
+            label="Or Type Text",
+            placeholder="Enter text here..."
+        )
+    
+    generate_btn = gr.Button("Generate Response")
+    conversation_history = gr.State([])
+
+    transcribed_textbox = gr.Textbox(
+        label="Transcribed Speech-to-Text", 
+        interactive=False, 
+        lines=1
+    )
+    output_text = gr.Textbox(
+        label="GPT Response", 
+        interactive=False, 
+        lines=2
+    )
+    output_audio = gr.Audio(
+        label="Generated Audio", 
+        autoplay=True, 
+        interactive=False
+    )
+    chat_history_display = gr.Textbox(
+        label="Conversation History", 
+        interactive=False, 
+        lines=3
+    )
+
+    generate_btn.click(
+        fn=process_input,
+        inputs=[audio_input, text_input, conversation_history],
+        outputs=[transcribed_textbox, output_text, output_audio, conversation_history]
+    ).then(
+        fn=update_chat_history,
+        inputs=[conversation_history],
+        outputs=[chat_history_display]
+    )
+
+    end_conversation = gr.Button("End Conversation")
+    end_conversation.click(
+        fn=None,
+        inputs=[],
+        outputs=[],
+        js="() => { window.location.reload() }"
+    )
+
+demo.launch(share=True)

requirements.txt

@@ -0,0 +1 @@
+openai