Add application and requirements files

app.py

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+import gradio as gr
+import speech_recognition as sr
+import cv2
+from transformers import pipeline
+
+# Initialize Speech Recognition
+recognizer = sr.Recognizer()
+
+# Initialize Image Generation
+generator = pipeline('image-generation', model='CompVis/stable-diffusion-v1-4')
+
+# Function to recognize speech
+def recognize_speech():
+    with sr.Microphone() as source:
+        print('Say something...')
+        audio = recognizer.listen(source)
+    try:
+        text = recognizer.recognize_google(audio)
+        return 'You said: ' + text
+    except sr.UnknownValueError:
+        return 'Google Speech Recognition could not understand audio'
+    except sr.RequestError as e:
+        return 'Could not request results; {0}'.format(e)
+
+# Function to recognize image
+def recognize_image(image):
+    # Process image using OpenCV/TensorFlow
+    return "Image recognized (not implemented)"
+
+# Function to generate image
+def generate_image(prompt):
+    images = generator(prompt)
+    return images[0]
+
+# Set up the Gradio interface
+def main_interface():
+    with gr.Blocks() as demo:
+        gr.Markdown("# Mistral 0.2 Dolphin Interface")
+
+        with gr.Tab("Recognize Speech"):
+            speech_output = gr.Textbox(label="Recognized Speech")
+            speech_button = gr.Button("Start Speaking")
+            speech_button.click(fn=recognize_speech, outputs=speech_output)
+
+        with gr.Tab("Recognize Image"):
+            image_input = gr.Image(type="pil", label="Upload Image")
+            image_output = gr.Textbox(label="Image Info")
+            image_button = gr.Button("Recognize Image")
+            image_button.click(fn=recognize_image, inputs=image_input, outputs=image_output)
+
+        with gr.Tab("Generate Image"):
+            prompt_input = gr.Textbox(label="Prompt")
+            image_output = gr.Image(type="pil", label="Generated Image")
+            image_button = gr.Button("Generate Image")
+            image_button.click(fn=generate_image, inputs=prompt_input, outputs=image_output)
+
+    return demo
+
+if __name__ == "__main__":
+    main_interface().launch()

requirements.txt

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+SpeechRecognition
+pyaudio
+opencv-python-headless
+tensorflow
+torch
+torchvision
+torchaudio
+diffusers
+transformers
+pyyaml
+gradio