initial commit

README.md

@@ -1,5 +1,5 @@
 ---
-title: Gradio Chatbot
+title: New0
 emoji: 💬
 colorFrom: yellow
 colorTo: purple
@@ -7,6 +7,8 @@ sdk: gradio
 sdk_version: 5.0.1
 app_file: app.py
 pinned: false
+license: mit
+short_description: song search using artist name live
 ---
 
 An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).

app.py

@@ -1,64 +1,39 @@
+# This Gradio app allows users to search for a song by artist name and stream the song.
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+import numpy as np
+import time
+import requests
+from io import BytesIO
+
+# Function to search for a song by artist name
+def search_song(artist_name):
+    # Simulate a search request to an API
+    # In a real application, you would replace this with an actual API call
+    response = {
+        "artist": artist_name,
+        "song": "Sample Song",
+        "audio_url": "https://example.com/sample-song.mp3"
+    }
+    return response
+
+# Function to stream the song
+def stream_song(song_details):
+    # Extract the audio URL from the song details
+    audio_url = song_details["audio_url"]
+    # Simulate streaming the song
+    for _ in range(10):  # Fixed the syntax error by adding a colon and a range value
+        time.sleep(0.5)
+        yield audio_url
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    artist_name = gr.Textbox(label="Artist Name")
+    song_details = gr.Json(label="Song Details")
+    audio_output = gr.Audio(streaming=True, autoplay=True)
+
+    # Set up the event listeners
+    artist_name.submit(search_song, inputs=artist_name, outputs=song_details)
+    song_details.change(stream_song, inputs=song_details, outputs=audio_output)
+
+# Launch the Gradio app
+demo.launch(show_error=True)

requirements.txt

@@ -1 +1,6 @@
-huggingface_hub==0.25.2
+numpy
+requests
+matplotlib
+pandas
+plotly
+transformers_js_py