Upload folder using huggingface_hub

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----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=
+-----END CERTIFICATE-----

.gradio/flagged/dataset1.csv

@@ -0,0 +1,11 @@
+name,intensity,output,timestamp
+Rei,0,"Hello, Rei",2024-11-17 02:29:18.557619
+Rei Sarod,4,"Hello, Rei Sarod!!!!",2024-11-17 02:30:31.921196
+Rei Sarod,12,"Hello, Rei Sarod!!!!!!!!!!!!",2024-11-17 02:39:13.260407
+Rei Sarod,12,"Hello, Rei Sarod!!!!!!!!!!!!",2024-11-17 02:39:21.837807
+Rei Sarod,12,"Hello, Rei Sarod!!!!!!!!!!!!",2024-11-17 02:39:29.253689
+Rei Sarod,12,"Hello, Rei Sarod!!!!!!!!!!!!",2024-11-17 02:39:41.420515
+Rei,0,"Hello, Rei",2024-11-17 03:19:09.849869
+REi,0,"Hello, REi",2024-11-17 03:22:39.605772
+REi,4,"Hello, REi!!!!",2024-11-17 03:22:42.937940
+REi,4,"Hello, REi!!!!",2024-11-17 03:22:44.704268

.gradio/flagged/dataset2.csv

@@ -0,0 +1,3 @@
+name,output,timestamp
+Rei,Hello Rei!,2024-11-17 03:51:59.565018
+Rei,Hello Rei!,2024-11-17 03:54:32.173563

README.md

@@ -1,12 +1,6 @@
 ---
-title: Gradio
-emoji: 🔥
-colorFrom: gray
-colorTo: gray
+title: gradio
+app_file: app.py
 sdk: gradio
 sdk_version: 5.6.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

api.py

@@ -0,0 +1,10 @@
+from gradio_client import Client, file
+
+client = Client("http://127.0.0.1:7860/")
+
+client.predict(
+  name="Rei",
+  intensity=0,
+  api_name="/predict"
+)
+

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!"
+
+demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
+    
+demo.launch(share=True)  # Share your demo with just 1 extra parameter 🚀
+
+
+from gradio_client import Client
+
+client = Client("http://127.0.0.1:7860/")
+result = client.predict(
+                name="Hello!!",
+                intensity=0,
+                api_name="/predict"
+)
+print(result)

client.py

@@ -0,0 +1,3 @@
+from gradio_client import Client
+
+client = Client("abidlabs/my-private-space", hf_token="")

diffusers

@@ -0,0 +1,6 @@
+from diffusers import DiffusionPipeline
+
+pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V4.0")
+
+prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
+image = pipe(prompt).images[0]

prueba.py

@@ -0,0 +1,7 @@
+from gradio_client import Client, handle_file
+
+client = Client("abidlabs/whisper")
+
+client.predict(
+    audio=handle_file("audio_sample.wav")
+)

text2image.py

@@ -0,0 +1,15 @@
+from gradio_client import Client, handle_file
+
+client = Client("ysharma/Text_Behind_Image")
+result = client.predict(
+		input_image=handle_file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
+		text="Hello!!",
+		font_size=400,
+		color="White",
+		opacity=255,
+		x_position=50,
+		y_position=50,
+		thickness=0,
+		api_name="/add_text_to_image"
+)
+print(result)

trams

@@ -0,0 +1,22 @@
+
+# pip install 'transformers>=4.39.1'
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "CohereForAI/c4ai-command-r-plus-08-2024"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+# Format message with the command-r-plus-08-2024 chat template
+messages = [{"role": "user", "content": "Hello, how are you?"}]
+input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")
+## <BOS_TOKEN><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hello, how are you?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
+
+gen_tokens = model.generate(
+    input_ids, 
+    max_new_tokens=100, 
+    do_sample=True, 
+    temperature=0.3,
+    )
+
+gen_text = tokenizer.decode(gen_tokens[0])
+print(gen_text)

transformes.py

@@ -0,0 +1,8 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!"
+
+demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
+    
+demo.launch(share=True)  # Share your demo with just 1 extra parameter 🚀