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demos/calculator/run.py

@@ -1,16 +1,7 @@
 import gradio as gr
-
-VARIABLE = 42
-from foo import foo_fn
-
-with gr.no_reload():
-    print("HERE")
-    print("FOO BAR")
-    import numpy as np
-
+#from foo import BAR
+#
 def calculator(num1, operation, num2):
-    print("foo_fn", foo_fn())
-    print(np.zeros(10))
     if operation == "add":
         return num1 + num2
     elif operation == "subtract":
@@ -26,7 +17,7 @@ demo = gr.Interface(
     calculator,
     [
         "number", 
-        gr.Radio(["add", "subtract", "multiply", "divide"], label="Operation"),
+        gr.Radio(["add", "subtract", "multiply", "divide"]),
         "number"
     ],
     "number",
@@ -36,7 +27,7 @@ demo = gr.Interface(
         [144, "multiply", 2.5],
         [0, "subtract", 1.2],
     ],
-    title="Toy Calculator!",
+    title="Toy Calculator",
     description="Here's a sample toy calculator. Allows you to calculate things like $2+2=4$",
 )
 

demos/chatbot_multimodal/run.py

@@ -9,15 +9,16 @@ def print_like_dislike(x: gr.LikeData):
     print(x.index, x.value, x.liked)
 
 
-def add_text(history, text, image):
-    if image:
-        msg = f"<img src='/file={image}' /> {text}"
-    else:
-        msg = txt
-    history = history + [(msg, None)]
+def add_text(history, text):
+    history = history + [(text, None)]
     return history, gr.Textbox(value="", interactive=False)
 
 
+def add_file(history, file):
+    history = history + [((file.name,), None)]
+    return history
+
+
 def bot(history):
     response = "**That's cool!**"
     history[-1][1] = ""
@@ -44,11 +45,11 @@ with gr.Blocks() as demo:
         )
         btn = gr.UploadButton("📁", file_types=["image", "video", "audio"])
 
-    txt_msg = txt.submit(add_text, [chatbot, txt, btn], [chatbot, txt], queue=False).then(
+    txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
         bot, chatbot, chatbot, api_name="bot_response"
     )
     txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
-    file_msg = btn.upload(add_text, [chatbot, txt, btn], [chatbot, txt], queue=False).then(
+    file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False).then(
         bot, chatbot, chatbot
     )
 

demos/chatinterface_streaming_echo/run.py

@@ -11,4 +11,4 @@ def slow_echo(message, history):
 demo = gr.ChatInterface(slow_echo).queue()
 
 if __name__ == "__main__":
-    demo.launch(state_session_capacity=2000)
+    demo.launch()

demos/fake_diffusion_with_gif/run.py

@@ -1,31 +1,49 @@
-"""
-app.py
-"""
+import gradio as gr
+import numpy as np
+import time
 import os
+from PIL import Image
+import requests
+from io import BytesIO
 
-import gradio as gr
-#from groq import Groq
-
-#client = Groq(api_key=os.getenv('GROQ_API_KEY'))
-
-def autocomplete(text):  
-    for word in text.split():
-        yield word
-              
-# Create the Gradio interface with live updates
-iface = gr.Interface(
-    fn=autocomplete,
-    inputs=gr.Textbox(lines=2,
-                      placeholder="Hello 👋",
-                      label="Input Sentence"),
-    outputs=gr.Markdown(),
-    title="Catch me if you can 🐰",
-    description="Powered by Groq & Gemma",
-    live=True,  # Set live to True for real-time feedback
-    allow_flagging="never"  # Disable flagging
-)
-iface.dependencies[0]['show_progress'] = "hidden"
-iface.dependencies[2]['show_progress'] = "hidden"
-
-# Launch the app
-iface.launch()
+
+def create_gif(images):
+    pil_images = []
+    for image in images:
+        if isinstance(image, str):
+            response = requests.get(image)
+            image = Image.open(BytesIO(response.content))
+        else:
+            image = Image.fromarray((image * 255).astype(np.uint8))
+        pil_images.append(image)
+    fp_out = os.path.join(os.path.dirname(__file__), "image.gif")
+    img = pil_images.pop(0)
+    img.save(fp=fp_out, format='GIF', append_images=pil_images,
+            save_all=True, duration=400, loop=0)
+    return fp_out
+
+
+def fake_diffusion(steps):
+    rng = np.random.default_rng()
+    images = []
+    for _ in range(steps):
+        time.sleep(1)
+        image = rng.random((600, 600, 3))
+        images.append(image)
+        yield image, gr.Image(visible=False)
+
+    time.sleep(1)
+    image = "https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg"
+    images.append(image)
+    gif_path = create_gif(images)
+
+    yield image, gr.Image(value=gif_path, visible=True)
+
+
+demo = gr.Interface(fake_diffusion,
+                    inputs=gr.Slider(1, 10, 3, step=1),
+                    outputs=["image", gr.Image(label="All Images", visible=False)])
+demo.queue()
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -1,6 +1,6 @@
 
-gradio-client @ git+https://github.com/gradio-app/gradio@e18d2583269511a252ad3e9d610efcaee09e79d3#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/e18d2583269511a252ad3e9d610efcaee09e79d3/gradio-4.21.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@556dff3e7dea0d40d9a15571a9ea6031b1ac7e71#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/556dff3e7dea0d40d9a15571a9ea6031b1ac7e71/gradio-4.21.0-py3-none-any.whl
 pypistats==1.1.0
 plotly==5.10.0
 opencv-python==4.6.0.66