Create chatbot.py

chatbot.py

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+import openai
+import gradio as gr
+import warnings
+
+warnings.filterwarnings("ignore")
+openai.api_key = "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"
+
+
+def transcribe(audio, text):
+    if audio is not None:
+        with open(audio, "rb") as transcript:
+            prompt = openai.Audio.transcribe("whisper-1", transcript)
+        s = prompt["text"]
+    else:
+        s = text
+    
+    response = openai.Completion.create(
+        engine="text-davinci-002",
+        prompt=s,
+        max_tokens=60,
+        n=1,
+        stop=None,
+        temperature=0.5,
+    )
+    r = response.choices[0].text
+
+    return [s,r]
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("Boba Jarvis strikes again")
+    with gr.Row():
+        input1 = gr.inputs.Audio(source="microphone", type = "filepath", label="Use your voice to chat")
+        input2 = gr.inputs.Textbox(lines=7, label="Chat with AI")
+        output_1 = gr.Textbox(label = "Speech to Text")
+        output_2 = gr.Textbox(label = "AI Output")
+    btn = gr.Button("Run")
+    btn.click(fn=transcribe, inputs=[input1, input2], outputs=[output_1, output_2])
+demo.launch(share=True)