no message

app.py

@@ -6,9 +6,11 @@ from bark.generation import SUPPORTED_LANGS
 from flask import Flask, jsonify
 
 DEBUG_MODE = False
+EXAMPLES = [
+            ["Hello, my name is Suno. And, uh — and I like pizza. [laughs]\nBut I also have other interests such as playing tic tac toe."]
+        ]
 
 
-#@app.route('/api/test1', methods=['GET'])
 def endpoint1():
     # Your logic for the first endpoint
     #return jsonify({"message": "Endpoint 1"})
@@ -16,20 +18,20 @@ def endpoint1():
 
 
 def echo(text, request: gr.Request):
+
     output_text = {"report1": "SUCCESS"}  # Initialize as a dictionary
-    output_text["report3"] = text
+    output_text["your_text"] = text
     if request:
         # Convert headers to a dictionary and include them in the output_text
         output_text["headers"] = dict(request.headers.items())
-    
-    # Convert the output_text dictionary to a JSON-formatted string
-    
-    
-    
-    #audio_out = gr.Audio(label="Generated Audio",
-    #                             type="numpy", elem_id="audio_out")
-    
+        output_text[""]
+
     output_text_json = json.dumps(output_text)
     return output_text_json
 
-io = gr.Interface(echo, "textarea", "json").launch(share=True)
+io = gr.Interface(
+                    fn = echo, 
+                    inputs = "textarea", 
+                    outputs = "json",
+                    examples = EXAMPLES
+                ).launch(share=True)

nnf_text_to_speech_v1_tester2.py

@@ -0,0 +1,90 @@
+Hugging Face's logo
+Hugging Face
+Search models, datasets, users...
+Models
+Datasets
+Spaces
+Posts
+Docs
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+
+
+
+Spaces:
+
+Nuno-Tome
+/
+nnf_text_to_speech_v1_tester2 
+private
+
+App
+Files
+Community
+Settings
+nnf_text_to_speech_v1_tester2
+/
+app.py
+
+Nuno-Tome's picture
+Nuno-Tome
+no message
+92620bf
+3 days ago
+raw
+history
+blame
+edit
+delete
+No virus
+1.55 kB
+import gradio as gr
+from gradio_client import Client
+
+
+DEBUG_MODE = True
+
+MESAGE_HEADER = """
+# 📣 Neural News Forge project 📣
+## 👀👌 Tester for sand-box/nnf_text_to_speech_v1 👀👌
+### testes for basic GET
+      
+"""
+
+
+def get_bmc_markdown():
+    bmc_link = "https://www.buymeacoffee.com/nuno.tome"
+    image_url = "https://helloimjessa.files.wordpress.com/2021/06/bmc-button.png" # Image URL
+    image_size = "150" # Image size
+    image_url_full = image_url + "?w=" + image_size
+    image_link_markdown = f"[![Buy Me a Coffee]({image_url_full})]({bmc_link})"
+    full_text = """
+                ### If you like this project, please consider liking it or buying me a coffee. It will help me to keep working on this and other projects. Thank you!
+                # """ + image_link_markdown
+    return full_text
+
+   
+def send_request(text):
+    client = Client("sand-box/nnf_text_to_speech_v1")
+    result = client.predict(
+        text,
+        api_name="/predict"
+    )
+    return result
+
+with gr.Blocks() as demo:
+  
+    gr.Markdown(MESAGE_HEADER)
+    #gr.DuplicateButton()
+    #gr.Markdown(get_bmc_markdown())
+     
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("**Type your message:**")
+            inp = gr.TextArea(placeholder="What is your name?")
+        with gr.Column():
+            gr.Markdown("**This is your gradio api request response:**")
+            out = gr.JSON()  
+    btn = gr.Button("Send request to server")
+    btn.click(fn=send_request, inputs=inp, outputs=out)
+ 
+demo.launch(share=True)